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chore: park tutorial_5_expectation_propagation as NEEDS_FIX #44

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Merged
Jammy2211 merged 1 commit into from
Aug 5, 2026
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chore: park tutorial_5_expectation_propagation as NEEDS_FIX #44

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2 changes: 2 additions & 0 deletions config/build/no_run.yaml
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Expand Up @@ -9,3 +9,5 @@
# are broken and parked as a to-do list. These are NOT permanent skips —
# every mega-run surfaces them with a loud warning banner. Investigate the
# failure, fix the underlying bug, and remove the NEEDS_FIX marker.

- tutorial_5_expectation_propagation # NEEDS_FIX 2026-08-05 - LinearRegressionAnalysis.log_likelihood_function returns a constant -1, ignoring `instance`, so every initial sample has an identical figure of merit and the per-factor search cannot initialise. The tutorial only "passes" today because CI runs at PYAUTO_TEST_MODE=2, which bypasses the sampler; at real sampling the linear_regression factor never completes a single update. Fix needs a real likelihood for the m/c regression over fwhm_list (currently computed and unused), which is tutorial authoring, not a mechanical repair. See PyAutoFit#1454.
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